🔥 Check out this trending post from TechCrunch 📖 📂 **Category**: TC,Startups,Transportation,Hardware,Crypto,Climate,Fintech,Biotech & Health,Venture,AI,Robotics,Fundraising,TechCrunch Disrupt 2026 💡 **What You’ll Learn**: The biggest risk facing founders and investors right now is not moving too slowly. It is too late to react to where the market has already turned. New stages in TechCrunch disabled 2026 Helping founders and investors make faster, more informed decisions in today's highly complex and volatile markets. from October 13-15 at Moscone West in San FranciscoDisrupt brings together over 10,000 founders, investors and operators in over 250 sessions Through six stages Focus on the operational pressures reshaping innovation…
💥 Explore this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Conversation Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to…
✨ Read this must-read post from TechCrunch 📖 📂 **Category**: Security,Canvas,cyberattack,cybersecurity,Education,instructure,shinyhunters 📌 **What You’ll Learn**: Lawmakers in the US House of Representatives are asking representatives of Instructure, the education software maker that was hacked twice, to testify about the company's response to cyberattacks that allowed hackers to steal the personal data of millions of students around the world. The House Homeland Security Committee is investigating hacks and data breaches, as it has jurisdiction over government activities related to homeland security, the committee's chairman, Rep. Andrew Garbarino, wrote in a letter to Instructure CEO Steve Daley. The US cybersecurity agency CISA…
🚀 Read this awesome post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Nibble is C-like systems programming language. Nibble was written in 3000 lines of C to demonstrate an approach to LLVM IR generation without relying on external dependencies or heap allocations. Nibble supports defer, recursion, integer, floating, and boolean types, structs (simply named types), GLSL-like struct operators, pointers, function pointers, branching, loops, type checking, basic C interoperability via generic pointers, and reasonable error messages. Included are these four graphical demos demonstrating Nibble's ability. To try them out, ensure SDL2 is first installed, as well as Clang,…
🔥 Explore this must-read post from TechCrunch 📖 📂 **Category**: Government & Policy,SEC,Securities and Exchange Commission,stocks,WallStreetBets 💡 **What You’ll Learn**: The Securities and Exchange Commission formally proposed last week to weaken quarterly reporting standards for publicly traded companies. So far, public comments submitted to the financial regulator on the idea have been mostly negative. But the best objection was made yesterday by the popular Reddit site, WallStreetBets. The community of "nearly 18 million retail investors on Reddit" argued in the unsigned letter that quarterly financial filings — known as 10-Q filings — are "the most important settlement mechanism between individual…
💥 Explore this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: The ‘cloud-native’ architecture of the last decade is built on a 20-year-old assumption: that state lives in the database, and compute is stateless. If you want to scale, you scale the database vertically (get a larger machine) [1][1] or design the database schema around partition the data and you scale your application servers horizontally (add more boxes). Any request can hit any server, the loadbalancer doesn’t care, and the database is the single source of truth.LLMs and agents are quietly violating this assumption, and making…
🚀 Explore this awesome post from TechCrunch 📖 📂 **Category**: Fundraising,Startups,anduril,defense tech 📌 **What You’ll Learn**: Another year, another massive influx of capital into Anduril: The funding round that was rumored to take place in March has officially closed. Anduril has raised a $5 billion Series H round at a $61 billion valuation, led by returning investors Thrive Capital and Andreessen Horowitz, the company announced Wednesday. That's more than double the valuation it received just under a year ago, when it raised $2.5 billion at a $30.5 billion valuation led by Founders Fund. (The founder's fund received a check for…
🔥 Discover this trending post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: Build your expertise, not just your projects. This skill uses an adaptive "dynamic textbook" approach to help you integrate science-based expertise building exercises while doing agentic coding. When you complete architectural work (new files, schema changes, refactors), Claude offers optional 10-15 minute learning exercises grounded in evidence-based learning science. The exercises use techniques like prediction, generation, retrieval practice, and spaced repetition to provide you with semi-worked examples from across your own project work. Pairs well with Learning-Goal, a skill that guides you through semi-structured, interactive…
💥 Discover this trending post from TechCrunch 📖 📂 **Category**: AI,TC,Campbell Brown,Forum AI,Lerer Hippeau ✅ **What You’ll Learn**: Campbell-Brown has spent her career chasing accurate information, first as a popular TV journalist, then as Facebook's first and only head of news. Now, as she watches artificial intelligence reshape how people consume information, she sees history threatening to repeat itself. And this time, she's not waiting for someone else to fix her. Her company Forum AI — which she recently discussed with TechCrunch's Tim Fernholz at a StrictlyVC evening in San Francisco — evaluates how foundational models perform on what it…
🔥 Explore this trending post from Hacker News 📖 📂 **Category**: 📌 **What You’ll Learn**: Why this exists? AI labs frequently update their models post-launch. These updates sometimes introduce "nerfs" such as aggressive censorship, excessive quantization (to save compute costs), or behavioral degradation. This chart exposes these hidden trends. Note on Web UIs vs. API: LMSYS Arena tests model performance via API endpoints (the "raw" model). Consumer chat interfaces (like gemini.com or chatgpt.com) often add system prompts, safety filters, and UI-specific wrappers not present in the raw API. Providers may also silently switch to quantized (lower-precision) versions of models to…
